Fourier Transform Analysis of GPS-Derived Mobility Patterns for Diagnosis and Mood Monitoring of Bipolar and Major Depressive Disorders: Prospective Study.

ABSTRACT:

Background

Mood disorders, including bipolar disorder (BP) and major depressive disorder (MDD), are characterized by significant psychological and behavioral fluctuations, with mobility patterns serving as potential markers of emotional states.

Objective

This study explores the diagnostic and monitoring capabilities of Fourier transform, a frequency-domain analysis method, in mood disorders by leveraging GPS data as an objective measure.

Methods

A total of 62 participants (BP: n=20, MDD: n=27, and healthy controls: n=15) contributed 5177 person-days of data over observation periods ranging from 5 days to 6 months. Key GPS indicators-location variance (LV), transition time (TT), and entropy-were identified as reflective of mood fluctuations and diagnostic differences b

SUBMITTER: Lee TY 

PROVIDER: S-EPMC12287981 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature